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#hype
2 posts2 participants1 post today
“‘Vibe Coding’ Vs Reality”, ‘Cendyne’ (https://cendyne.dev/posts/2025-03-19-vibe-coding-vs-reality.html).
Via Lobsters: https://lobste.rs/s/ahk6h5/vibe_coding_vs_reality
cendyne.dev"Vibe Coding" vs RealityReviewing the capabilities and limitations of LLM agents in software development and their impact on skilled and less skilled developers.
Continued thread
…wie oben schon mehrfach ua bei KI darauf hingewiesen & wie bei fast jedem Hype auch, plappert nicht einfach dem Marketing gedankenlos hinterher.
»Man kann es nicht oft genug sagen – Künstliche Intelligenz ist nicht intelligent:
Der Hype um KI-Agenten lässt wieder die Illusion von Intelligenz aufkommen. Dabei ist es doch so einfach: Maschinen sind keine Menschen«
DER STANDARD · Man kann es nicht oft genug sagen: Künstliche Intelligenz ist nicht intelligentDer Hype um KI-Agenten lässt wieder die Illusion von Intelligenz aufkommen. Dabei ist es doch so einfach: Maschinen sind keine Menschen
It should be noted that with the exception of inappropriate uses - see my previous toot - the only evidence I have seen so far of AI playing a role in business & society is the number of people, companies & organizations offering courses in the role of AI in business & society...
In meinem Job und natürlich auch sonst im Umfeld ist der KI #Hype immer noch strong.
Je mehr ich lese, desto weniger enthusiastisch bin ich da allerdings. Inzwischen habe ich ca. 100 knackige Beispiele für die Gefahren von KI gesammelt und werde daraus wohl mal eine kleine Keynote basteln, um mit meinen Kolleg*innen darüber zu diskutieren.
Ein aktuelles Beispiel, gerade bei Fefe gesehen:
#KI #Halluzinationen: #ChatGPT erfand einen falschen #Kindermörder
https://noyb.eu/de/ai-hallucinations-chatgpt-created-fake-child-murderer
noyb.euKI-Halluzinationen: ChatGPT erfand einen falschen KindermörderChatGPT erfand eine Geschichte über einen Norweger, laut der er seine Kinder ermordet habe und ins Gefängnis kam. All das passierte aber nie
I'm so hyped already, and the conference is in Barcelona:
https://hypestudies.org/
GIF
Continued thread
No os amontonéis todos a preguntar por él (no lo íbais a hacer de todos modos): podréis leerlo cuando salga la #fedirevista 
"Pointless is increasingly becoming the word I use for AI."—
Steven J. Vaughan-Nichols
AI running out of juice despite Microsoft's hard squeezing >
https://www.theregister.com/2025/03/14/ai_running_out_of_juice/
The Register · AI running out of juice despite Microsoft's hard squeezing
Apple Intelligence: The Emperor's New Clothes
I know I’m late to this party, but I’ve been reading John Gruber’s piece “Something Is Rotten in the State of Cupertino”, and finally found time to share my thoughts.(...)
Green light for UK carbon capture projects – but will they deliver?
Chemistry WorldGreen light for UK carbon capture projects – but will they deliver?The country is already behind on targets to capture carbon dioxide and is playing catch up
HYPE Price Crashes 9% As Hyperliquid Faces Outflows After ETH Whale Liquidation - Hyperliquid’s native cryptocurrency HYPE has tanked by another 9% slipping to $12.54, as ... - https://coingape.com/hype-price-crashes-9-as-hyperliquid-faces-outflows-after-eth-whale-liquidation/ #24/7cryptocurrencynews #ethereumwhales #ethereum(eth) #altcoinnews #hype
CoinGape · HYPE Price Crashes 9% As Hyperliquid Faces Outflows After ETH Whale Liquidation
#EndFossilFuels www.msn.comMSN
Hyperliquid Loses $4M as Ethereum Whale Deliberately Pulls Collateral - The unpredictability of the crypto market hit the famous decentralized perpetual exchange... - https://coingape.com/trending/hyperliquid-loses-4m-as-ethereum-whale-deliberately-pulls-collateral/ #24/7cryptocurrencynews #binance #hype
CoinGape · Hyperliquid Loses $4M as Ethereum Whale Deliberately Pulls Collateral
Crypto Whale Scoops $15M HYPE Amid Crypto Market Dip: Is HYPE Price Rally Next? - The crypto market often faces turbulence and trend reversals. Many cryptos are currently ... - https://coingape.com/trending/crypto-whale-scoops-15m-hype-amid-crypto-market-dip-is-hype-price-rally-next/ #24/7cryptocurrencynews #cryptowhale #hype
CoinGape · Crypto Whale Scoops $15M HYPE Amid Crypto Market Dip: Is HYPE Price Rally Next?
Artificial Intelligence
That grand, spacious (and long ignored) branch of computing that I never really found a reason to graduate in (big mistake I only realized 30 years later) and that, these days, dea(...)
#ai #artificial #hype #industry #intelligence #llms #ml #nlp
·· azkenak airean - last broadcast ··
klamydia
just a product
hype
vol.
Entzun / Listen (streaming):
https://punkirratia.net:8443/punk
#klamydia #justaproduct #hype #vol. #FediRadio #punk #streaming #NowPlaying #music #musica #musique #musika #MastoRadio
"... and in the end, maybe the real AI boom was the friends we laid off along the way."
You are not doing science research if you stuff an LLM into the critical path of your experiments. You are, instead, producing science-shaped artifacts with the same peripheral relationship to science that LLM text output has to truth.
The reason for this shouldn't be hard to see but apparently is. Simplistically, science is about hypothesis-driven investigation of research questions. You formulate the question first, you derive hypotheses from it, and then you make observations designed to tell you something about the hypotheses. (1)(2) If you stuff an LLM in what should be the observations part, you are not performing observations relevant to your hypothesis, you are filtering what might have been observations through a black box. If you knew how to de-convolve the LLM's response function from the signal that matters to your question, maybe you'd be OK, but nobody knows how to do that. (3)
If you stick an LLM in the question-generating part, or the hypothesis-generating part, then forget it, at that point you're playing a scientistic video game. The possibility of a scientific discovery coming out of it is the same as the possibility of getting physically wet while watching a computer simulation of rain. (4)
If you stick an LLM in the communication part, then you're putting yourself on the Retraction Watch list, not communicating.
#science #LLM #AI #GenAI #GenerativeAI #AIHype #hype
(1) I know this is a cartoonishly simple view of science, but I do firmly believe that something along these lines is the backbone of it, however real-world messy it becomes in practice.
(2) A large number of computer scientists are very sloppy about this process--and I have been in the past too--but that does not mean it should be condoned.
(3) Things are so dire that very few even seem to have the thought that this is something you should try to do.
(4) Yes, you might discover something while watching the LLM glop, but that's you, the human being, making the discovery, not the AI, in a chance manner despite the process, not in a systematic manner enhanced by the process. You could likewise accidentally spill a glass of water on yourself while watching RainSim.
The reason for this shouldn't be hard to see but apparently is. Simplistically, science is about hypothesis-driven investigation of research questions. You formulate the question first, you derive hypotheses from it, and then you make observations designed to tell you something about the hypotheses. (1)(2) If you stuff an LLM in what should be the observations part, you are not performing observations relevant to your hypothesis, you are filtering what might have been observations through a black box. If you knew how to de-convolve the LLM's response function from the signal that matters to your question, maybe you'd be OK, but nobody knows how to do that. (3)
If you stick an LLM in the question-generating part, or the hypothesis-generating part, then forget it, at that point you're playing a scientistic video game. The possibility of a scientific discovery coming out of it is the same as the possibility of getting physically wet while watching a computer simulation of rain. (4)
If you stick an LLM in the communication part, then you're putting yourself on the Retraction Watch list, not communicating.
#science #LLM #AI #GenAI #GenerativeAI #AIHype #hype
(1) I know this is a cartoonishly simple view of science, but I do firmly believe that something along these lines is the backbone of it, however real-world messy it becomes in practice.
(2) A large number of computer scientists are very sloppy about this process--and I have been in the past too--but that does not mean it should be condoned.
(3) Things are so dire that very few even seem to have the thought that this is something you should try to do.
(4) Yes, you might discover something while watching the LLM glop, but that's you, the human being, making the discovery, not the AI, in a chance manner despite the process, not in a systematic manner enhanced by the process. You could likewise accidentally spill a glass of water on yourself while watching RainSim.
Retraction WatchRetraction WatchTracking retractions as a window into the scientific process
#Development #Debates
Users don’t care about your tech stack · So, what should you focus on? https://ilo.im/162gqo
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#Users #Hype #Library #Framework #WebTechnologies #Business #Website #WebDev #Frontend #Backend
ilo.imUsers Don’t Care About Your Tech StackThey care about the product and their needs.